ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.06366
  4. Cited By
A Generalist Framework for Panoptic Segmentation of Images and Videos
v1v2v3v4 (latest)

A Generalist Framework for Panoptic Segmentation of Images and Videos

12 October 2022
Ting-Li Chen
Lala Li
Saurabh Saxena
Geoffrey E. Hinton
David J. Fleet
    VGenMLLM
ArXiv (abs)PDFHTML

Papers citing "A Generalist Framework for Panoptic Segmentation of Images and Videos"

16 / 66 papers shown
Title
Fixing the train-test resolution discrepancy
Fixing the train-test resolution discrepancy
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
129
424
0
14 Jun 2019
Video Instance Segmentation
Video Instance Segmentation
Linjie Yang
Yuchen Fan
N. Xu
VOSISeg
88
510
0
12 May 2019
RVOS: End-to-End Recurrent Network for Video Object Segmentation
RVOS: End-to-End Recurrent Network for Video Object Segmentation
Carles Ventura
Míriam Bellver
Andreu Girbau
Amaia Salvador
F. Marqués
Xavier Giró-i-Nieto
VOS
82
230
0
13 Mar 2019
An End-to-End Network for Panoptic Segmentation
An End-to-End Network for Panoptic Segmentation
Huanyu Liu
Chao Peng
Changqian Yu
Jingbo Wang
Xuantong Liu
Gang Yu
Wei Jiang
ISeg
76
148
0
12 Mar 2019
MOTS: Multi-Object Tracking and Segmentation
MOTS: Multi-Object Tracking and Segmentation
P. Voigtlaender
Michael Krause
Aljosa Osep
Jonathon Luiten
Berin Balachandar Gnana Sekar
Andreas Geiger
Bastian Leibe
VOT
74
579
0
10 Feb 2019
UPSNet: A Unified Panoptic Segmentation Network
UPSNet: A Unified Panoptic Segmentation Network
Yuwen Xiong
Renjie Liao
Hengshuang Zhao
Rui Hu
Min Bai
Ersin Yumer
R. Urtasun
SSeg
81
431
0
12 Jan 2019
Attention-guided Unified Network for Panoptic Segmentation
Attention-guided Unified Network for Panoptic Segmentation
Yanwei Li
Xinze Chen
Zheng Zhu
Lingxi Xie
Guan Huang
Dalong Du
Xingang Wang
55
280
0
10 Dec 2018
Panoptic Segmentation
Panoptic Segmentation
Alexander Kirillov
Kaiming He
Ross B. Girshick
Carsten Rother
Piotr Dollár
127
1,447
0
03 Jan 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
795
132,454
0
12 Jun 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
488
22,143
0
09 Dec 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDEBDLPINN
1.4K
14,618
0
07 Oct 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,654
0
06 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,510
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,441
0
18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
312
7,031
0
12 Mar 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
434
43,832
0
01 May 2014
Previous
12